Study on the number of decision variables in design and optimization of Varicol process

As a variant of simulated moving bed chromatography, Varicol process can realize flexible adsorbent allocationthrough asynchronous shifting of inlet and outlet ports. In this research, the switching strategiesfor achieving one certain average configuration were investigated. It was found the system...

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Main Authors: Yao, C., Tang, S., Yao, Hong Mei, Tade, Moses, Xu, Y.
Format: Journal Article
Published: Elsevier Ireland Ltd. 2014
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/18792
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author Yao, C.
Tang, S.
Yao, Hong Mei
Tade, Moses
Xu, Y.
author_facet Yao, C.
Tang, S.
Yao, Hong Mei
Tade, Moses
Xu, Y.
author_sort Yao, C.
building Curtin Institutional Repository
collection Online Access
description As a variant of simulated moving bed chromatography, Varicol process can realize flexible adsorbent allocationthrough asynchronous shifting of inlet and outlet ports. In this research, the switching strategiesfor achieving one certain average configuration were investigated. It was found the system performancedepends on the total number of switches of the four ports during one switching period and Simple-Shifting-Scheme (SSS) with four switches brings out the best performance. More importantly, SSS could be different schemes, different by a parallel shifting, but all of them result in the same performance, demonstrating that only three instead of four switching times are decision variables while designing a Varicol process. To make the design of SSS more solid, a systematic method for derivation of SSS is proposed and applied on the optimization of a Varicol process for enantioseparation of 1,1-bi-2-naphthol and reduce the solvent consumption by 17% comparing with SMB.
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institution Curtin University Malaysia
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publishDate 2014
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spelling curtin-20.500.11937-187922017-09-13T13:43:51Z Study on the number of decision variables in design and optimization of Varicol process Yao, C. Tang, S. Yao, Hong Mei Tade, Moses Xu, Y. Switching strategy Simulated moving bed Varicol Simulation Optimization Design As a variant of simulated moving bed chromatography, Varicol process can realize flexible adsorbent allocationthrough asynchronous shifting of inlet and outlet ports. In this research, the switching strategiesfor achieving one certain average configuration were investigated. It was found the system performancedepends on the total number of switches of the four ports during one switching period and Simple-Shifting-Scheme (SSS) with four switches brings out the best performance. More importantly, SSS could be different schemes, different by a parallel shifting, but all of them result in the same performance, demonstrating that only three instead of four switching times are decision variables while designing a Varicol process. To make the design of SSS more solid, a systematic method for derivation of SSS is proposed and applied on the optimization of a Varicol process for enantioseparation of 1,1-bi-2-naphthol and reduce the solvent consumption by 17% comparing with SMB. 2014 Journal Article http://hdl.handle.net/20.500.11937/18792 10.1016/j.compchemeng.2014.05.004 Elsevier Ireland Ltd. restricted
spellingShingle Switching strategy
Simulated moving bed
Varicol
Simulation
Optimization
Design
Yao, C.
Tang, S.
Yao, Hong Mei
Tade, Moses
Xu, Y.
Study on the number of decision variables in design and optimization of Varicol process
title Study on the number of decision variables in design and optimization of Varicol process
title_full Study on the number of decision variables in design and optimization of Varicol process
title_fullStr Study on the number of decision variables in design and optimization of Varicol process
title_full_unstemmed Study on the number of decision variables in design and optimization of Varicol process
title_short Study on the number of decision variables in design and optimization of Varicol process
title_sort study on the number of decision variables in design and optimization of varicol process
topic Switching strategy
Simulated moving bed
Varicol
Simulation
Optimization
Design
url http://hdl.handle.net/20.500.11937/18792